Pinned Repositories
18330
18.330 Introduction to Numerical Analysis
18335
18.335 - Introduction to Numerical Methods course
18337
18.337 - Parallel Computing and Scientific Machine Learning
18S096SciML
18.S096 - Applications of Scientific Machine Learning
18S191
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
2020-10-30-ODSC
Slides for a talk at the 2020 Open Data Science Conference (West)
Back-to-Python-Basics
Review of basic syntax of understanding and using Python. Much of the material is based off the "Python Crash Course" book by Eric Matthes.
Back-to-Python-for-Data-Basics
Review of basic syntax for using Python for understanding and analyzing data. Much of the material is based off syntax snippets pulled together by Chris Albon and the Deep Learning book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
llama
Inference code for LLaMA models
odsc-model-evaluation
NathanHundley's Repositories
NathanHundley/18337
18.337 - Parallel Computing and Scientific Machine Learning
NathanHundley/Adversarial-Distributional-Training
Adversarial Distributional Training (NeurIPS 2020)
NathanHundley/awesome-gpt3
NathanHundley/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
NathanHundley/Conversational-AI-NLP-Tutorial
NathanHundley/CSI
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
NathanHundley/Deep_Object_Pose
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
NathanHundley/ganspace
Discovering Interpretable GAN Controls [NeurIPS 2020]
NathanHundley/gpt3-sandbox
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
NathanHundley/GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
NathanHundley/lightgbm-dask-testing
Test LightGBM's Dask integration on different cluster types
NathanHundley/lm-human-preferences
Code for the paper Fine-Tuning Language Models from Human Preferences
NathanHundley/MathWorksWorkshopODSCEast2021
NathanHundley/ncsnv2
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
NathanHundley/neuralcoref
✨Fast Coreference Resolution in spaCy with Neural Networks
NathanHundley/nlp-fundamentals-python
ODSC AI+: NLP Fundamentals in Python
NathanHundley/odsc-ml-drum
NathanHundley/odsc_art_of_bert
NathanHundley/openai-python
NathanHundley/python-odsclient
A nonofficial client for OpenDataSoft API.
NathanHundley/RBNN
Pytorch implementation of our NeurIPS 2020 -- Rotated Binary Neural Network
NathanHundley/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
NathanHundley/robust-models-transfer
Official repository for our NeurIPS 2020 *oral* "Do Adversarially Robust ImageNet Models Transfer Better?"
NathanHundley/SOLO
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
NathanHundley/spinningup
An educational resource to help anyone learn deep reinforcement learning.
NathanHundley/stylegan2
StyleGAN2 - Official TensorFlow Implementation
NathanHundley/TIM
Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297 (NeurIPS 2020)
NathanHundley/TurboTransformers
a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
NathanHundley/unas
Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral
NathanHundley/Wav2Lip
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.